ITN Celebrates 50th Year in Medical Imaging

Carter Newton, M.D., FACC, is assistant professor of radiology and assistant clinical professor of cardiology at the University of Arizona in Tucson.

Greg Rose, M.D., Ph.D., has served as president and CEO of NightRays since its inception in 2004.

You may have heard today’s 50 is the new 30. While you try to justify that one, we are taking this moment to celebrate the 50th anniversary of Imaging Technology News.
Formerly named ‘MEEN’ magazine, which stood for Medical Electronics and Equipment News, not its demeanor, the publication eventually spun off the brand, Imaging Technology News (ITN). The new journal focused on the vertical medical imaging market and earned its status as “The Technology Solutions Resource for Medical Imaging Professionals.”
Join us as we celebrate our continued coverage of new and emerging medical imaging equipment and IT solutions designed to support you in the delivery of patient care.

New Editorial Advisory Board Members
The end of a decade marks the beginning of a new era. Guiding ITN’s editorial line requires a strong cabinet of advisors. I am very proud and privileged to introduce to you the newest members of the ITN Editorial Advisory Board.Carter Newton, M.D., FACC, is assistant professor of radiology and assistant clinical professor of cardiology at the University of Arizona in Tucson. After 18 years of group adult cardiology practice in Los Angeles, Calif., he created his own medical imaging consultancy, specializing in CT Angiography. He lectures in the U.S. and internationally on the business and technical aspects of performing and reading CT cardiac scans; he puts on courses and tutorials for Level 2 and Level 3 CTA certification; and he provides telecardiology peer review and quality assurance to hospitals and imaging centers. He holds American Boards in Internal Medicine, Cardiology and Cardiac CT. He serves of the Education and Credentialing Committee of the Society of Cardiovascular Computed Tomography. Contact email: [email protected]

Greg Rose, M.D., Ph.D., has served as president and CEO of NightRays since its inception in 2004. His scientific background includes a physics B.S. from Bucknell University, a Ph.D. in physics from Texas A&M University, physics teaching of Electricity and Magnetism, General Physics, and Astronomy, and defense research for the U.S. Army. His medical background includes medical school at UTMB, radiology residency at the Baylor University Medical Center, and an MRI fellowship at the Mayo Clinic. He has presented research at Physics and Medical conferences. He has published work in the fields of solid state theory, laser theory, mammography, teleradiology, and MRE. He holds a patent and patents pending. He is the chief architect of the NightRays RIS. He has been in private radiology practice since 1998 and serves as one of the interpreting radiologists for NightRays. Contact email: [email protected].

Sam Friedman, M.D., Nuclear Radiologist, is chief technology officer at Pitts Radiology in Columbia, S.C. His medical background includes completing his fellowship in Nuclear Medicine and Radiology residency at University of Alabama in Birmingham, after serving as the doctor of medicine at Baylor College of Medicine in Houston, Texas five years. He is a member of the American College of Radiology, American Roentgen Ray Society, Radiological Society of North America, Society for Imaging Informatics in Medicine, and Society of Nuclear Medicine. He is also well known as Dr. Dalai for his popular Dalai’s PACS Blog at www.doctordalai.blogspot.com. Contact email: [email protected].

Carter Newton, M.D., FACC, is assistant professor of radiology and assistant clinical professor of cardiology at the University of Arizona in Tucson.

Greg Rose, M.D., Ph.D., has served as president and CEO of NightRays since its inception in 2004.

Collage depicts broad applications in machine learning or deep learning (DL) that can be applied to advanced medical imaging technologies. Size of the liver and its fat fraction — 22 percent — (top middle in collage) can be quantified automatically using an algorithm developed by Dr. Albert Hsiao and his team at the University of California San Diego. This and other information that might be mined by DL algorithms from CT and MR images could help personalize patients’ treatment. Collage provided by Albert Hsiao